AI-empowered game architecture and application for resource provision and scheduling in multi-clouds
Abstract Current deep learning technologies used a large number of parameters to achieve a high accuracy rate, and the number of parameters is commonly more than a hundred million for image-related tasks. To improve both training speed and accuracy in multi-clouds, distributed deep learning is also...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SpringerOpen
2023-08-01
|
| Edice: | Journal of Cloud Computing: Advances, Systems and Applications |
| Témata: | |
| On-line přístup: | https://doi.org/10.1186/s13677-023-00505-8 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|